v1TqV `Diagnostic Measurement: Theory, Methods, and Applications [PDF/EPub] Book by André A. Rupp
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Dv1TqV5McN - Download and read André A. Rupp's book Diagnostic Measurement: Theory, Methods, and Applications in PDF, EPub, Mobi, Kindle online. Free book Diagnostic Measurement: Theory, Methods, and Applications by André A. Rupp.
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Synopsis: This book provides a comprehensive introduction to the theory and practice of diagnostic classification models (DCMs), which are useful for statistically driven diagnostic decision making. DCMs can be employed in a wide range of disciplines, including educational assessment and clinical psychology. For the first time in a single volume, the authors present the key conceptual underpinnings and methodological foundations for applying these models in practice. Specifically, they discuss a unified approach to DCMs, the mathematical structure of DCMs and their relationship to other latent variable models, and the implementation and estimation of DCMs using . The book's highly accessible language, real-world applications, numerous examples, and clearly annotated equations will encourage professionals and students to explore the utility and statistical properties of DCMs in their own projects. The companion website (www.guilford.com/rupp-materials) features chapter exercises with answers, data sets, syntax code, and output. Winner--Award for Significant Contribution to Educational Measurement and Research Methodology, AERA Division DMplusMplus.
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Synopsis: This book provides a comprehensive introduction to the theory and practice of diagnostic classification models (DCMs), which are useful for statistically driven diagnostic decision making. DCMs can be employed in a wide range of disciplines, including educational assessment and clinical psychology. For the first time in a single volume, the authors present the key conceptual underpinnings and methodological foundations for applying these models in practice. Specifically, they discuss a unified approach to DCMs, the mathematical structure of DCMs and their relationship to other latent variable models, and the implementation and estimation of DCMs using . The book's highly accessible language, real-world applications, numerous examples, and clearly annotated equations will encourage professionals and students to explore the utility and statistical properties of DCMs in their own projects. The companion website (www.guilford.com/rupp-materials) features chapter exercises with answers, data sets, syntax code, and output. Winner--Award for Significant Contribution to Educational Measurement and Research Methodology, AERA Division DMplusMplus.
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